認(rèn)知中繼網(wǎng)絡(luò)頻譜感知與資源分配研究
發(fā)布時間：2018-11-01 15:14
【摘要】：隨著無線通信技術(shù)的不斷發(fā)展,人們對頻譜資源的需求日益增加。傳統(tǒng)的固定頻譜分配策略能夠避免系統(tǒng)之間的干擾,但對頻譜資源的占用具有不完全性,極易造成頻譜資源的浪費(fèi)。認(rèn)知無線電技術(shù)能夠?qū)崿F(xiàn)無線頻譜資源的共享和利用,解決了頻譜資源匱乏以及頻譜資源利用不足之間的矛盾。另一方面,協(xié)作中繼技術(shù)利用分集增益,能夠有效提高無線網(wǎng)絡(luò)系統(tǒng)的容量、傳輸可靠性以及增加覆蓋率。認(rèn)知無線網(wǎng)絡(luò)是在認(rèn)知無線電技術(shù)基礎(chǔ)上發(fā)展起來的一種具有認(rèn)知能力的網(wǎng)絡(luò),通過引入?yún)f(xié)作中繼技術(shù),認(rèn)知無線網(wǎng)絡(luò)能夠獲得更好的系統(tǒng)性能和更高的頻譜利用率,因此,面向協(xié)作中繼的認(rèn)知無線網(wǎng)絡(luò)——認(rèn)知中繼網(wǎng)絡(luò),已成為無線通信領(lǐng)域的研究熱點(diǎn)。由于與授權(quán)網(wǎng)絡(luò)系統(tǒng)共享頻譜資源,認(rèn)知中繼網(wǎng)絡(luò)首先需要進(jìn)行頻譜感知發(fā)現(xiàn)可用的頻譜資源,然后,根據(jù)頻譜感知的結(jié)果自適應(yīng)調(diào)整自身參數(shù),確定最佳的資源分配方案進(jìn)行頻譜接入。本論文圍繞認(rèn)知中繼網(wǎng)絡(luò)系統(tǒng)中的協(xié)作頻譜感知和聯(lián)合資源分配問題展開研究,以協(xié)作中繼作為主要技術(shù)手段,重點(diǎn)解決了認(rèn)知中繼網(wǎng)絡(luò)系統(tǒng)中兩個基本問題:1)研究精確可靠的頻譜感知算法,為認(rèn)知中繼網(wǎng)絡(luò)系統(tǒng)提供盡可能多的可靠頻譜接入機(jī)會;2)研究高效的聯(lián)合資源分配算法,以便認(rèn)知用戶能夠合理利用有限資源,從而提高接入頻譜的利用效率,增加認(rèn)知中繼網(wǎng)絡(luò)系統(tǒng)的容量。論文主要創(chuàng)新性貢獻(xiàn)包括:首先,為了克服信道衰落對頻譜感知性能的不利影響,論文提出了兩種基于虛擬MIMO技術(shù)的帶外控制信道協(xié)作頻譜感知算法,所提算法提高了協(xié)作頻譜感知的準(zhǔn)確性和可靠性,能夠?yàn)檎J(rèn)知中繼網(wǎng)絡(luò)提供更多可靠的頻譜接入機(jī)會。1)提出了一種基于高效空時編碼的協(xié)作頻譜感知算法,算法利用高效空時編碼和協(xié)作中繼技術(shù)增加系統(tǒng)分集增益,能夠降低感知信號傳輸誤碼率,有效提升協(xié)作頻譜感知的性能;2)考慮到協(xié)作認(rèn)知用戶的動態(tài)變化和認(rèn)知用戶感知可靠性之間的差異,提出了一種基于隨機(jī)空時編碼的加權(quán)協(xié)作頻譜感知算法,算法采用隨機(jī)空時編碼克服信道衰落對感知性能造成的影響,利用感知可靠性加權(quán)融合準(zhǔn)則增強(qiáng)高可靠性感知信號的判決權(quán)重,在提高協(xié)作頻譜感知性能的同時能夠適應(yīng)認(rèn)知用戶數(shù)量的動態(tài)變化。其次,為了克服帶外控制信道協(xié)作頻譜感知對信道資源的額外需求,論文提出了一種基于選擇中繼的帶內(nèi)控制信道協(xié)作頻譜感知算法,在保證協(xié)作頻譜感知性能的同時能夠有效節(jié)約信道資源,提高授權(quán)頻譜利用率以及減小信道管理復(fù)雜度。該算法采用了一種基于選擇中繼的信號傳輸機(jī)制避免初始感知結(jié)果上報過程中可能對授權(quán)用戶造成的干擾,利用感知可靠性加權(quán)融合準(zhǔn)則區(qū)分不同認(rèn)知用戶的感知可靠性,提高協(xié)作頻譜感知的性能。同時,算法給出了最優(yōu)能量感知門限選擇機(jī)制,保證授權(quán)用戶通信QoS的同時最大限度利用授權(quán)頻譜資源。所提算法通過聯(lián)合考慮感知和報告兩個階段,研究了感知開銷對協(xié)作頻譜感知性能的影響,分析表明,對于預(yù)設(shè)目標(biāo)檢測概率而言,存在唯一的感知開銷使得頻譜感知的虛警概率最小。然后,在協(xié)作頻譜感知基礎(chǔ)之上,為了充分利用頻譜接入機(jī)會,針對多約束環(huán)境對網(wǎng)絡(luò)系統(tǒng)性能的影響,論文研究了AF-OFDM認(rèn)知多中繼網(wǎng)絡(luò)中的聯(lián)合資源分配問題,提出了三種聯(lián)合子載波匹配、功率分配和最佳中繼選擇的資源分配算法,以提高頻譜資源的利用效率,提升認(rèn)知中繼網(wǎng)絡(luò)系統(tǒng)的容量。1)提出了一種基于對偶理論的分布式資源分配算法以獲取聯(lián)合資源分配問題的近似最優(yōu)解;2)提出了一種快速聯(lián)合資源分配算法,這種算法具有很低的計算復(fù)雜度,比較適合硬件條件有限、性能要求不高的應(yīng)用場景;3)為了平衡算法性能和復(fù)雜度之間的沖突,提出了一種兩階段高效聯(lián)合資源分配算法,這種算法解決了對偶算法和快速算法的缺點(diǎn),在獲得穩(wěn)定且較低計算復(fù)雜度的同時,算法性能接近于近似最優(yōu)解。最后,考慮到中繼協(xié)議的差異,論文研究了DF-OFDM認(rèn)知多中繼網(wǎng)絡(luò)中的聯(lián)合資源分配問題,提出了兩種聯(lián)合資源分配算法以適應(yīng)復(fù)雜的應(yīng)用環(huán)境,提高網(wǎng)絡(luò)系統(tǒng)的容量。1)考慮到算法計算復(fù)雜度在應(yīng)用中可能對系統(tǒng)實(shí)現(xiàn)帶來的不利影響,以獲取較低的計算復(fù)雜度為目標(biāo),提出了一種快速聯(lián)合資源分配算法,快速算法能夠在不對系統(tǒng)性能造成嚴(yán)重衰減的前提下,大大降低算法計算復(fù)雜度;2)由于快速算法以追求計算復(fù)雜度最小為目標(biāo),次優(yōu)的功率分配機(jī)制以及子載波分配順序都會對系統(tǒng)性能造成一定的影響,為了克服這些問題,提出了一種高效的聯(lián)合資源分配算法,高效算法克服了快速算法中發(fā)射功率分配機(jī)制和子載波分配順序的不利影響,在計算復(fù)雜度和性能之間獲得了合理的平衡。
[Abstract]:With the development of wireless communication technology, people's demand for spectrum resources is increasing. The traditional fixed spectrum allocation strategy can avoid the interference between the systems, but the occupation of the spectrum resources is incomplete, and the waste of spectrum resources can be easily caused. the cognitive radio technology can realize the sharing and utilization of radio spectrum resources, and solves the contradiction between the lack of spectrum resources and the insufficient utilization of spectrum resources. On the other hand, cooperative relay technology utilizes diversity gain to effectively improve the capacity of wireless network system, transmission reliability and increase coverage rate. The cognitive wireless network is a network with cognitive ability developed on the basis of cognitive radio technology. By introducing cooperative relay technology, the cognitive wireless network can obtain better system performance and higher frequency spectrum utilization rate, therefore, A cooperative relay-oriented cognitive radio network _ cognitive relay network has become a hot spot in the field of wireless communication. Because the spectrum resource is shared with the authorized network system, the cognitive relay network firstly needs to carry out spectrum sensing to discover available spectrum resources, and then adaptively adjusts the self parameters according to the result of spectrum perception, and determines the best resource allocation scheme to carry out frequency spectrum access. This paper researches on cooperative spectrum sensing and joint resource allocation problem in cognitive relay network system, and takes cooperative relay as the main technical means, mainly solves the two basic problems in the cognitive relay network system: 1) the accurate and reliable spectrum sensing algorithm is researched, Providing as many reliable spectrum access opportunities as possible for the cognitive relay network system; 2) researching the efficient joint resource allocation algorithm so that the cognitive users can reasonably utilize the limited resources, thus improving the utilization efficiency of the access spectrum and increasing the capacity of the cognitive relay network system. Firstly, in order to overcome the adverse effect of channel fading on spectrum sensing performance, two kinds of external control channel cooperative spectrum sensing algorithm based on virtual MIMO technology are proposed, and the proposed algorithm improves the accuracy and reliability of cooperative spectrum sensing. it is possible to provide more reliable spectrum access opportunities for the cognitive relay network. 1) a cooperative spectrum sensing algorithm based on efficient empty time coding is proposed, and 2) considering the difference between the dynamic change of the cooperative cognitive user and the perceived reliability of the cognitive user, a weighted cooperative spectrum sensing algorithm based on random air time coding is proposed, The algorithm adopts random space coding to overcome the influence of channel fading on perceived performance, enhances the decision weight of high reliability sensing signal by utilizing perceptual reliability weighted fusion criterion, and can adapt to the dynamic change of the number of cognitive users while improving the performance of cooperative spectrum sensing. secondly, in order to overcome the additional requirement of the external control channel cooperative spectrum perception to channel resources, a cooperative spectrum sensing algorithm based on a selective relay is proposed, which can effectively save the channel resources while ensuring the cooperative spectrum sensing performance, improve that utilization of authorized spectrum and reduce the complexity of channel management. The algorithm adopts a signal transmission mechanism based on the selective relay to avoid the interference that may be caused by the authorized user during the reporting process of the initial perception result, and utilizes the perceptual reliability weighted fusion criterion to distinguish the perceived reliability of different cognitive users and improve the performance of cooperative spectrum sensing. At the same time, the optimal energy-sensing threshold selection mechanism is given to ensure the maximum utilization of authorized spectrum resources while the user is authorized to communicate with QoS. The proposed algorithm studies the effect of perceived overhead on the perceived performance of cooperative spectrum by considering both the perception and the reporting period. The analysis shows that there is a unique perception overhead for the detection probability of the preset target, so that the probability of the spectrum-aware virtual police is the least. Then, on the basis of cooperative spectrum perception, in order to make full use of spectrum access opportunity, in order to influence the performance of network system with multi-constraint environment, the problem of joint resource allocation in AF-OFDM cognitive multi-relay network is studied, and three joint sub-carriers matching are proposed. In order to improve the utilization efficiency of spectrum resources and improve the capacity of cognitive relay network system, a distributed resource allocation algorithm based on dual theory is proposed to obtain approximate optimal solution of joint resource allocation problem. 2) a fast joint resource allocation algorithm is proposed, which has low computational complexity and is suitable for application scenarios with limited hardware conditions and high performance requirements; and 3) in order to balance the conflict between performance and complexity of the algorithm, A two-stage efficient joint resource allocation algorithm is proposed, which solves the defect of dual algorithm and fast algorithm, and the algorithm performance is close to the approximate optimal solution while obtaining stable and low computational complexity. Finally, considering the difference of relay protocol, the problem of joint resource allocation in DF-OFDM cognitive multi-relay network is studied, and two joint resource allocation algorithms are proposed to suit the complex application environment. increasing the capacity of the network system. 1) taking into account that the computational complexity of the algorithm can adversely affect the implementation of the system in the application, and aiming at obtaining lower computational complexity, a fast joint resource allocation algorithm is proposed, the fast algorithm can greatly reduce the computational complexity of the algorithm without causing severe attenuation to the system performance, and 2) because the fast algorithm aims at the minimum computational complexity, In order to overcome these problems, an efficient joint resource allocation algorithm is proposed in order to overcome these problems. The efficient algorithm overcomes the adverse effects of the transmission power allocation mechanism and the sub-carrier allocation sequence in the fast algorithm, and obtains a reasonable balance between the computational complexity and the performance.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TN925
本文編號：2304301
[Abstract]:With the development of wireless communication technology, people's demand for spectrum resources is increasing. The traditional fixed spectrum allocation strategy can avoid the interference between the systems, but the occupation of the spectrum resources is incomplete, and the waste of spectrum resources can be easily caused. the cognitive radio technology can realize the sharing and utilization of radio spectrum resources, and solves the contradiction between the lack of spectrum resources and the insufficient utilization of spectrum resources. On the other hand, cooperative relay technology utilizes diversity gain to effectively improve the capacity of wireless network system, transmission reliability and increase coverage rate. The cognitive wireless network is a network with cognitive ability developed on the basis of cognitive radio technology. By introducing cooperative relay technology, the cognitive wireless network can obtain better system performance and higher frequency spectrum utilization rate, therefore, A cooperative relay-oriented cognitive radio network _ cognitive relay network has become a hot spot in the field of wireless communication. Because the spectrum resource is shared with the authorized network system, the cognitive relay network firstly needs to carry out spectrum sensing to discover available spectrum resources, and then adaptively adjusts the self parameters according to the result of spectrum perception, and determines the best resource allocation scheme to carry out frequency spectrum access. This paper researches on cooperative spectrum sensing and joint resource allocation problem in cognitive relay network system, and takes cooperative relay as the main technical means, mainly solves the two basic problems in the cognitive relay network system: 1) the accurate and reliable spectrum sensing algorithm is researched, Providing as many reliable spectrum access opportunities as possible for the cognitive relay network system; 2) researching the efficient joint resource allocation algorithm so that the cognitive users can reasonably utilize the limited resources, thus improving the utilization efficiency of the access spectrum and increasing the capacity of the cognitive relay network system. Firstly, in order to overcome the adverse effect of channel fading on spectrum sensing performance, two kinds of external control channel cooperative spectrum sensing algorithm based on virtual MIMO technology are proposed, and the proposed algorithm improves the accuracy and reliability of cooperative spectrum sensing. it is possible to provide more reliable spectrum access opportunities for the cognitive relay network. 1) a cooperative spectrum sensing algorithm based on efficient empty time coding is proposed, and 2) considering the difference between the dynamic change of the cooperative cognitive user and the perceived reliability of the cognitive user, a weighted cooperative spectrum sensing algorithm based on random air time coding is proposed, The algorithm adopts random space coding to overcome the influence of channel fading on perceived performance, enhances the decision weight of high reliability sensing signal by utilizing perceptual reliability weighted fusion criterion, and can adapt to the dynamic change of the number of cognitive users while improving the performance of cooperative spectrum sensing. secondly, in order to overcome the additional requirement of the external control channel cooperative spectrum perception to channel resources, a cooperative spectrum sensing algorithm based on a selective relay is proposed, which can effectively save the channel resources while ensuring the cooperative spectrum sensing performance, improve that utilization of authorized spectrum and reduce the complexity of channel management. The algorithm adopts a signal transmission mechanism based on the selective relay to avoid the interference that may be caused by the authorized user during the reporting process of the initial perception result, and utilizes the perceptual reliability weighted fusion criterion to distinguish the perceived reliability of different cognitive users and improve the performance of cooperative spectrum sensing. At the same time, the optimal energy-sensing threshold selection mechanism is given to ensure the maximum utilization of authorized spectrum resources while the user is authorized to communicate with QoS. The proposed algorithm studies the effect of perceived overhead on the perceived performance of cooperative spectrum by considering both the perception and the reporting period. The analysis shows that there is a unique perception overhead for the detection probability of the preset target, so that the probability of the spectrum-aware virtual police is the least. Then, on the basis of cooperative spectrum perception, in order to make full use of spectrum access opportunity, in order to influence the performance of network system with multi-constraint environment, the problem of joint resource allocation in AF-OFDM cognitive multi-relay network is studied, and three joint sub-carriers matching are proposed. In order to improve the utilization efficiency of spectrum resources and improve the capacity of cognitive relay network system, a distributed resource allocation algorithm based on dual theory is proposed to obtain approximate optimal solution of joint resource allocation problem. 2) a fast joint resource allocation algorithm is proposed, which has low computational complexity and is suitable for application scenarios with limited hardware conditions and high performance requirements; and 3) in order to balance the conflict between performance and complexity of the algorithm, A two-stage efficient joint resource allocation algorithm is proposed, which solves the defect of dual algorithm and fast algorithm, and the algorithm performance is close to the approximate optimal solution while obtaining stable and low computational complexity. Finally, considering the difference of relay protocol, the problem of joint resource allocation in DF-OFDM cognitive multi-relay network is studied, and two joint resource allocation algorithms are proposed to suit the complex application environment. increasing the capacity of the network system. 1) taking into account that the computational complexity of the algorithm can adversely affect the implementation of the system in the application, and aiming at obtaining lower computational complexity, a fast joint resource allocation algorithm is proposed, the fast algorithm can greatly reduce the computational complexity of the algorithm without causing severe attenuation to the system performance, and 2) because the fast algorithm aims at the minimum computational complexity, In order to overcome these problems, an efficient joint resource allocation algorithm is proposed in order to overcome these problems. The efficient algorithm overcomes the adverse effects of the transmission power allocation mechanism and the sub-carrier allocation sequence in the fast algorithm, and obtains a reasonable balance between the computational complexity and the performance.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TN925
【共引文獻(xiàn)】
相關(guān)期刊論文 前5條
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相關(guān)博士學(xué)位論文 前4條
1 周明月;認(rèn)知無線電系統(tǒng)的資源分配問題研究[D];吉林大學(xué);2014年
2 何立華;資源不確定條件下項(xiàng)目調(diào)度多目標(biāo)優(yōu)化研究[D];天津大學(xué);2013年
3 唐源潔;交通運(yùn)輸線性工程施工進(jìn)度計劃編制及優(yōu)化方法研究[D];北京交通大學(xué);2015年
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，本文編號：2304301
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